rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: Systems Approach to Understanding Drowsy Driving among Night-Shift Nurses
  name:
    name part: Smith, Alec Michael
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: McDonald, Anthony
    role:
      role term: thesis advisor.
  name:
    name part: Sasangohar, Farzan
    role:
      role term: thesis advisor.
  name:
    name part: Texas A&M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Drowsy driving is a major safety concern that has resulted in many deaths and injuries over the years. One population that is particularly susceptible to drowsy driving is night-shift nurses due to their extended hours of work and wakefulness and the physicality of their work. There have been several efforts evaluating the effectiveness of interventions in increasing their safety on the road. However, these interventions do not consider the holistic experience of night-shift nurses: their pre-existing relationship and experiences with drowsy driving; the on-road factors that contribute to drowsy driving and safety events; and the preferences for an intervention. To address these gaps, this work took a mixed-method approach. This work illustrated the following: drowsy driving begins at the start of the post-work commute, is perpetuated by ineffective countermeasure use, is impacted by complex work and family factors, and is a socially shared experience among nurses; the occurrence of near-crashes on the drive is often preceded by other near-crashes and increase as time on road increases; an in-vehicle detection device and drowsy driving education program increases focus on the road, wakes up drivers and increases the use of interactive countermeasures. The electronic version of this dissertation is accessible from https://hdl.handle.net/1969.1/198625
  note: by Alec Smith.
  note: "Major Subject: Industrial Engineering"
  note: Includes vita.
  note: Doctor of Philosophy Texas A&M University 2022 https://hdl.handle.net/1969.1/198625
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Industrial Engineering
  subject:
    topic: Drowsy driving
  subject:
    topic: fatigue
  identifier: https://hdl.handle.net/1969.1/198625
  record info:
    record content source: TXA
    record creation date: 241022
    record change date: 20250326141429.1
    record identifier: in00005621215
    language of cataloging:
      language term: eng